Best DevOps Tools

DevOps processes help companies to overcome the organizational challenges in an efficient, robust, and repeatable way. DevOps tools are a collection of complementary, task-specific tools that can be combined to automate processes. IronWorker and IronMQ are two DevOps tools from Iron.io that can help your business save money and scale on demand. Start your free 14 free Iron.i trial today!

The following solutions are some of the best DevOps tools that will ensure the creation and improvement of your products at a faster pace:

Source Control Management

  1. GitHub is a web-based Git repository hosting service that offers all of the distributed revision control and source code management features as well as adding its own. Unlike Git, it provides a web-based graphical interface, desktop, and mobile integration.
  2. GitLab, similar to GitHub, is a web-based Git repository manager with wiki and issue tracking features. Unlike GitHub, GitLab does not have an open-source version.
  3. JFrog Artifactory is an enterprise-ready repository manager that supports software packages created by any language or technology. It supports secure, clustered, High Availability Docker registries.

More source control management tools are:

Database Lifecycle Management

  1. DBmaestro offers Agile development and Continuous Integration and Delivery for the Database. It supports the streamlining of development process management and enforcing change policy practices. 
  2. Delphix is a software company that produces software for simplifying the building, testing, and upgrading of applications built on relational databases.
  3. Flyway is an open-source database migration tool based around six basic commands: Migrate, Clean, Info, Validate, Baseline, and Repair. Migrations support SQL or Java.

More database lifecycle management tools are:

Continuous Integration (CI)

  1. Bamboo is a continuous integration server that supports builds in any programming language using any build tool, including Ant, Maven, make, and any command-line tools. 
  2. Travis CI is an open-source continuous integration utility for building and testing projects hosted at GitHub. 
  3. Codeship is a continuous deployment tool focused on being an end-to-end solution for running tests and deploying apps. It supports Rails, Node, Python, PHP, Jaca, Scala, Groovy, and Clojure. 

More continuous integration tools are:

Recommended reading: DevOps Best Practices

Recommended reading: The Future of DevOps

Software Testing

  1. FitNesse is an automated testing solution for software. It supports acceptance testing rather than unit testing in that it facilitates a detailed readable description of system function.
  2. Selenium is a software testing tool for web apps that offers a record/playback solution for writing tests without knowledge in a test scripting language. 
  3. JUnit is a unit testing tool for Java. It has been prominent in the development of test-driven development and is a family of unit testing frameworks.
  4. Apache JMeter is an Apache load testing tool for analyzing and measuring the performance of various services, with a focus on web applications.
  5. TestNG is a testing solution for Java inspired by JUnit. TestNG’s design aims to cover a broader range of test categories: unit, functional, end-to-end, integration, etc., with more easy-to-use functionalities.

More software testing tools are:

Configuration Tools

  1. Ansible is an open-source software solution for configuring and managing computers. It offers multi-node software deployment, ad hoc task execution, and configuration management. 
  2. Puppet is an open-source configuration management solution for running on many Unix-like systems and Microsoft Windows. It also provides its declarative language to describe system configuration. 
  3. Salt platform is an open-source configuration management and remote execution application. It supports the “infrastructure-as-code” approach to deployment and cloud management.
  4. Rudder is an open-source audit and configuration management tool that automates system configuration across large IT infrastructures. 

More configuration tools are:

Deployment Tools

  1. Terraform is a utility for building, combining, and launching infrastructure. It can create and compose all the components from physical servers to containers to SaaS products necessary to run applications.
  2. AWS CodeDeploy is an automation tool for code deployments to any instance, including Amazon EC2 instances and instances running on-premises.
  3. ElasticBox is an agile DevOps tool for defining, deploying and managing application automation agnostic of any infrastructure or cloud.
  4. GoCD is an open-source automation tool for continuous delivery (CD). It automates the build-test-release process from code check-in to deployment. Various version control tools are available, including Git, Mercurial, and Subversion.

More deployment are:

Container Tools

  1. Docker is an open-source product that makes it easier to create, deploy, and run applications in containers by providing a layer of abstraction and automation of operating-system-level virtualization on Linux. 
  2. Kubernetes is an open-source system for managing multiple hosts’ containerized applications, providing basic mechanisms for deployment, maintenance, and scaling of applications.
  3. Apache Mesos is an open-source cluster manager that provides resource isolation and sharing across distributed applications or frameworks.

More container tools are:

Release Orchestration

  1. OpenMake is a strategic software delivery utility that deploys to multi-platform servers, clouds, or containers. It simplifies component packaging, database updates, jumping versions, calendaring, and offloads your overworked CI process.
  2. Plutora is an on-demand Enterprise IT Release Management software solution for building from the ground up to help companies deliver Releases that better serves businesses.
  3. Spinnaker is an open-source multi-cloud continuous delivery platform for releasing software changes by enabling key features: cluster management and deployment management. 

More release orchestration are:

Cloud Tools

  1. Amazon Web Services (AWS) is a set of web services that Amazon offers as a cloud computing platform in 11 geographical regions across the world. The most prominent of these services are Amazon Elastic Compute Cloud and Amazon S3.
  2. Microsoft Azure is a cloud computing platform for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters. It supports many different programming languages, tools, and frameworks, including both Microsoft-specific and third-party software and systems.
  3. Google Cloud is a cloud computing solution by Google that offers to host on the same supporting infrastructure that Google uses internally for end-user products.

More cloud tools are:

Container Management Services

  1. IronWorker is a tool that offers greater computing insights of tasks in real-time to optimize resource allocation and scheduling better. It tracks tasks with greater usage to understand the changing nature of organizations’ target audience and identify opportunities to streamline their compute.
  2.  AWS Fargate: is a serverless container management service (container as a service) that allows developers to focus on their application and not their infrastructure. While AWS Fargate does help with container orchestration, it does leave areas of concern where IronWorker fills the void, such as support, simplicity, and deployment options.
  3. Google Cloud Run: is a managed platform that takes a Docker container image and runs it as a stateless, autoscaling HTTP service. The areas of concern where IronWorker fills the void are some key features, such as containerized environment, high-scale Processing, and flexible scheduling.

More container management tools are:

AI Ops Tools

  1. Splunk enables searching, monitoring, and analyzing big data via a web-style interface. It can create graphs, reports, alerts, dashboards, and visualizations.
  2. Moogsoft is an AIOps platform that helps organizations streamline incident resolution, prevent outages, and meet SLAs.
  3. Logstash is a solution for managing events and logs. It enables collecting logs, parsing them, and storing them.

More AIOps tools are:

Analytics

  1. Datadog is an analytics and monitoring platform for IT infrastructure, operations, and development teams. It gets data from servers, databases, applications, tools, and services to give a centralized view of the applications in the cloud.
  2. Elasticsearch is a search server that enables a distributed full-text search engine with a RESTful web interface and schema-free JSON documents. 
  3. Kibana is a data visualization plugin for Elasticsearch that provides visualization features on top of the Elasticsearch cluster’s content index. 

More analytics tools are:

Monitoring

  1. Nagios is an open-source solution for monitoring systems, networks, and infrastructure. It provides alerting services for servers, switches, applications, and services. 
  2. Zabbix is an open-source monitoring tool for networks and applications. It tracks the status of various network services, servers, and other network hardware.
  3. Zenoss software builds real-time models of hybrid IT environments, providing performance insights that facilitate eliminating outages and reducing downtime, and IT spending.

More monitoring tools are:

Security

  1. SonarQube is a utility to manage code quality. It can cover new languages, adding rules engines, and advanced computing metrics through a robust extension mechanism. More than 50 plugins are available.
  2. Tripwire is an open-source security and data integrity tool for monitoring and alerting on specific file change(s) on a range of systems. 
  3. Fortify reduces software risk by recognizing security vulnerabilities. It determines the root cause of the vulnerability, correlates, and prioritizes results, and provides best practices so developers can develop code more securely.

More security tools are:

Collaboration

  1. Slack is a business communication tool that offers a set of features, including persistent chat rooms arranged by topic, private groups, etc.
  2. Trello is a free project management utility that operates a freemium business model. Basic service is provided free of charge, though a Business Class paid-for service was launched in 2013.
  3. JIRA is an issue tracking utility that offers bug and issue tracking, as well as project management functions. 

More collaboration tools are:

Messaging queues tools

  1. IronMQ: is an elastic message queue created specifically with the cloud in mind. It’s easy to use, runs on industrial-strength cloud infrastructure, and offers developers ready-to-use messaging with highly reliable delivery options and cloud-optimized performance.
  2. AWS SQS: is a distributed message queuing solution offered by Amazon. It supports programmatic sending of messages via web service applications as a way to communicate over the Internet. 
  3. RabbitMQ: is an open-source message-broker solution for advanced message queuing with a plug-in for streaming text-oriented messaging protocol, MQ Telemetry Transport, and other protocols. 

More messaging queues tools are:

Iron.io Tools

Organizational transformations need some level of technological or tool-based assistance. DevOps, continuous integration, and continuous delivery are no distinctions. The tools organizations identify and use in pursuit of their goals are critical for their DevOps strategy’s success.

Iron.io offers two critical infrastructure DevOps tools in IronWorker and IronMQ. These tools will save your business money by allowing your teams to focus on application development and not waste time maintaining infrastructure. Start your free Iron.io trial today, and take your business to the next level. Please follow our blog for more articles on DevOps.

DevOps Best Practices

Evolution is the key to survival. This is not only true for living organisms but also for companies. DevOps is a set of tools and practices that help speed up the development and operationalization of software products. This allows companies to better serve their customers by providing them with high-quality products.

Essentially, this helps beat the competition. But beating your competitors isn’t the goal. The goal is to be better every time you intend to launch a new product. That’s where DevOps best practices come in. These practices focus on improving a set of factors which include:

  • Speed
  • Reliability
  • Security
  • Collaboration between the development and the operations team
  • Continuous and rapid delivery

The factors are core features of Iron.io solutions for development teams such as IronWorker and IronMQ. Start your free 14 day Iron.io trial today!

DevOps best practices require continuous change. This means that your company will need to evolve and adopt an integrated change management strategy. 

Here are some of the best DevOps practices: 

1. Continuous Integration and Continuous Delivery 

Continuous integration and continuous delivery (ci cd) involve the working together of both the development teams and the operations team. The developers in the development team should build codes and continuously merge them into a repository that they share with the operations team. 

This allows the operations team to continuously test the code as it is being built. This makes it easy to identify any weaknesses in the code such as security defects. The collaboration between the two teams allows the process to have immediate feedback. Thus, making working together much easier. It also speeds up how fast the product will reach the market. 

Continuous delivery builds upon continuous integration. This is because it creates production environments where automated builds are continuously tested and prepared for release. Proper implementation of the continuous delivery process ensures that a software release from your company has undergone a vigorous standardized process. 

2. Automation

Automate every process in the product development and testing stage. Creating an automated system requires the use of technological tools. Some of the areas that will benefit from automation are code development, data, and network changes. The process of automation should also include creating test scenarios for new software development

Creating automated test cases will help you know about various outcomes. This will help you find out which areas you can improve to have better software. Automate processes will help speed up the development cycle. This will give you a competitive edge over other players in the market. Effective automated testing requires the use of appropriate automation tools at each stage of the development process.

3. Use of Integrated Change Management 

Technology is continuously changing and advancing with new innovative tools that make the current ones obsolete. Adopting continuous change management and integrating into both teams is key to meeting new customer demands especially under dynamic circumstances. Change management will help provide additional support by updating various processes of the development cycle. 

Your company should adopt a flexible model that is open to change. This will make it easy to use integrated change management. You should also anticipate any significant technology changes and prepare all levels of your organization for adopting new practices.

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4. Using Infrastructure as Code

Managing your infrastructure as code means using various software development techniques and continuous integration. This allows developers to use programs to interact with the company’s infrastructure. This process is also heavily reliant on automation. This is because developers can only use infrastructure as code when it comes to code-based tools. 

Using infrastructure as code makes it easy to update the technology to the latest versions. It also improves the speed at which new products can get deployed to the market.

5. Monitor Existing Applications

Deploying the product shouldn’t be the last step. Proactively monitor the running applications. This will help you find new ways to optimize the existing product. Additionally, it will help you know what improvements will help similar products that haven’t reached the deployment stage. The monitoring process should be automatic and apps’ operating system can send various performance metrics back to the developers. Monitoring running applications will also provide you with data analytics on how to provide customer support

6. Automated Dashboard

An automated dashboard gives the operations team with new insights that help them in the testing of new products. Developers’ operations can also leverage their intelligence with the automated dashboard. The dashboard also helps both teams get more in-depth information. This aids in developing new ways to make the product perform better. 

The dashboard also makes it easier to review any configuration changes across the entire system. It also makes DevOps tooling more effective by giving the operations real-time data. Thus, you can analyze this data and select the best automation tools for various products.

7. Facilitate Active Participation of All Stakeholders

Working together is one of the key ways of delivering great products. Including the views of different stakeholders is key, even if they don’t participate in the product development cycle. DevOps team should consider the views and integrate some of their concerns or interests when possible. This may yield better results and involving stakeholders is key to building a great working environment. 

8. Make the Automated Process Secure

A highly automated process needs very tight security. This is because cyber-attacks could result in massive losses of both crucial data and money. Use secure internal networks and grant access to only a handful of trustworthy individuals. Make security an important priority across the entire development cycle. Securing your processes will help you better manage product development. 

9. Build Microservices Architecture 

This is where you create one application by building several small services. The architecture should ensure that each small service is independent. This means that it can run alone and can communicate with other services. Each service should perform a specific purpose and should also work well with the different services.  

10. Continuous Deployment

Make the deployment process continuous by releasing the product code in versions. This helps make the deployment process more efficient. It also makes testing the code much easier and allows the product to entire the final stage much more quickly. This helps minimize the risks of failure. 

Thrive with DevOps

The collaboration between different teams in an organization is key to the overall success of the company. Implementing DevOps best practices ensures that both development and operation teams are on the same page in the product development process. This speeds up product development, minimizes risks, improves efficiency, and helps the company gain a competitive advantage over other players in the same industry. Start your free 14 day Iron.io trial and test out DevOps solutions such as IronWorker and IronMQ.

What is DevOps? A Comprehensive Guide

DevOps is a buzzword that sometimes means different things depending on who you ask. The actual definition of DevOps is a compound of development (Dev) and operations (Ops), DevOps is the union of people, process, and technology to continually provide value to customers.

DevOps teams from startups to large enterprise have been using Iron.io solutions to create awesome products for their customers. Get started today with a free 14 day Iron.io trial and test out IronWorker and IronMQ to your DevOps life cycle.

Here is a comprehensive guide to what DevOps is and what you need to know about its foundations and approach.

Why Was DevOps Created?

Created to meet the need to stay abrteast with throughput agile methods and increased software velocity, DevOps is a branch or offshoot of agile software development. Over the last decade, there became a need for a more natural approach to the end-to-end software delivery life cycle due to advancements in agile methods and culture.

In 2009, it was Patrick Debois who created the name and became a DevOps master. It is important to note that it is not a specific technology or process. Instead, it is more of a culture. For example, when discussing trends and adoption rates, it is considered a DevOps moment. Likewise, when an IT organization adopts it into their culture, this is called a DevOps environment.

An example of this comes from Microsoft Azure:

With end-to-end solutions on Azure, teams can implement DevOps practices in each of the application life cycle phases: plan, develop, deliver, and operate. These DevOps technologies, combined with people and processes, enable teams to continually provide value to customers.

Recommended Reading: DevOps Best Practices

The Types of Issues DevOps Resolves

Teams that adopt DevOps culture, practices, and tools see their work evolve into being able to build their products faster and become more of a high-performance team. This creates a culture of better customer service. These benefits include:

  • Improving the mean time to recovery
  • Accelerating time to market
  • Maintaining system reliability and stability
  • Adapting to the competition and the market

There are four stages in the DevOps life cycle. These include its plan, develop, deliver, and operate phases.

Plan Phase

In this phase of the life cycle, teams work on their ideas, define them, and describe the capabilities and features of the systems and applications being built. Teams track the progress at both high and low levels of granularity. These are anything from single-product task and beyond – including multiple products that span a variety of portfolios. DevOps teams track bugs, create backlogs, visualize their progress on dashboards, manage agile software development with Scrum, and use Kanban boards.

Develop Phase

In this phase of the life cycle, this is the coding area. Things like writing code, testing it, and reviewing code, and integration are all part of the develop phase. Another aspect of the develop phase is building code into build artifacts. These can later be sent into a variety of environments. This allows the team to create at a fast pace without sacrificing stability, productivity, and most important – quality. The highly productive tools are used, as well as automating manual and mundane steps. They then reprise in small increases through continuous integration and automated testing.

Deliver Phase

Deploy applications to any Azure service, such as Kubernetes on Azure, automatically and with full control to maintain customer value. Spin and define numerous cloud environments such as HashiCorp Terraform or Azure Resource Manager. Then use Azure pipelines to deliver into environments featuring tools like Spinnaker or Jenkins or Azure Pipelines as part of the delivery process.

Operate Phase

Gain insights from logs and telemetry, receive actionable alerts, and implement full stack monitoring with Azure Monitor. You can also manage the cloud environment with tools like Puppet, Chef, and Ansible or Azure Automation. Using Chef Automation or Azure Blueprints, keep all applications and provisional infrastructure in compliance. Easily minimize threat exposure, find vulnerabilities, and mediate them fast with Azure Security Center.

What is DevOps’ Goals?

The main goals of DevOps is to make collaboration better between all of the team. This is from the first stages of planning, all the way throughout automation and delivery. This does things like:

  • Improves mean time recovery
  • Improves deployment frequency
  • Shorten the lead time between fixes
  • Maintain a faster time to market
  • Minimize the failure rate of new releases

According to the 2015 State of DevOps Report:

High-performing IT organizations deploy 30x more frequently with 200x shorter lead times; they have 60x fewer failures and recover 168x faster.”

Recommended Reading: Best DevOps Tools

What Are the Phases of DevOps Maturity?

There are certain phases as part of DevOps Maturity which include the following:

Waterfall Development

In the past, development teams took three or four months to write code. After that, the codes were merged in order to release them. This process was tedious and difficult because the code would have different versions and many changes. This caused production issues that meant integration took much longer.

Continuous Integration

Continuous integration is combining the main body of code to be released with newly developed code.This sector saves much time when the team is ready for the code to be released.

Continuous Deployment

Continuous deployment, not to be confused with continuous delivery [DevOps nirvana], is the most advanced evolution of continuous delivery. It’s the practice of deploying all the way into production without any human intervention.

Tools Used in DevOps

  • Source Code Repository
  • Build Server
  • Configuration Management
  • Virtual Infrastructure
  • Test Automation
  • Pipeline Orchestration
  • Unifying Enterprise Software Development and Delivery

For Future Reference

Learning about DevOps requires extensive research. And while no one article covers all of the bases, hopefully, this guide gives more insight into what it is all about and how it helps your team.

Recommended Reading: The Future of DevOps

Iron.io has been helping DevOps teams by offloading tasks quickly and easily to Iron.io by using IronWorker and IronMQ. Give Iron.io a try with a free 14 day trial and see why DevOps teams around the world have found Iron.io a great tool for all phases of the DevOps life cycle.

AWS Fargate: Overview and Alternatives

shipping containers

AWS Fargate is a serverless container management service (container as a service) that allows developers to focus on their application and not their infrastructure. While AWS Fargate does help with container orchestration, it does leave areas of concern where IronWorker fills the void.

You should be paying less for your AWS Fargate workloads.  Workload efficient enterprises are leaving Fargate for IronWorker. Speak to us to talk about why.

What are containers?

Before we talk about AWS Fargate, let’s talk about making software and containers. Making software applications behave predictably on different computers is one of the biggest challenges for developers. Software may need to run in multiple environments: development, testing, staging, and production. Differences in these environments can cause unexpected behavior, yet be very hard to track down.

To solve these challenges, more and more developers are using a technology called containers. Each container encapsulates an entire runtime environment. This includes the application itself, as well as the dependencies, libraries, frameworks, and configuration files that it needs to run.

Docker and Kubernetes were two of the first container technologies, but they are by no means the only alternatives. These containers are then used in container management services. For example, IronWorker, Iron.io’s container management service, uses Docker containers.

What is AWS Fargate?

Amazon’s first entry into the container market was Amazon Elastic Container Service (ECS). While many customers saw value in ECS, this solution often required a great deal of tedious manual configuration and oversight. For example, some containers may have to work together despite needing entirely different resources.

Performing all this management is the bane of many developers and IT staff. It requires a great deal of resources and effort, and it takes time away from what’s most important: deploying applications.

In order to solve these problems, Amazon has introduced AWS Fargate. According to Amazon, Fargate is “a compute engine for Amazon ECS that allows you to run containers without having to manage servers or clusters.”

Fargate separates the task of running containers from the task of managing the underlying infrastructure. Users can simply specify the resources that each container requires, and Fargate will handle the rest. For example, there’s no need to select the right server type, or fiddle with complicated multi-layered access rules.

AWS Fargate vs ECS vs EKS

docked ship with containers

Besides Fargate, Amazon’s other cloud computing offerings are ECS and EKS (Elastic Container Service for Kubernetes). ECS and EKS are largely for users of Docker and Kubernetes, respectively, who don’t mind doing the “grunt work” of manual configuration aka container orchestration.

One advantage of Fargate is that you don’t have to start out using it as an AWS customer. Instead, you can begin with ECS or EKS and then migrate to Fargate if you decide that it’s a better fit.

In particular, Fargate is a good choice if you find that you’re leaving a lot of compute power or memory on the table. Unlike ECS and EKS, Fargate only charges you for the CPU and memory that you actually use.

AWS Fargate: Pros and Cons

AWS Fargate is an exciting technology, but does it really live up to the hype? Below, we’ll discuss some of the advantages and disadvantages of using AWS Fargate.

Pro’s:

    • Less Complexity
    • Better Security
    • Lower Costs (Maybe)

Con’s:

    • Less Customization
    • Higher Costs (Maybe)
    • Region Availability

Pro: Less Complexity

These days, tech companies are offering everything “as a service,” taking the complexity out of users’ hands. There’s software as a service (SaaS), infrastructure as a service (IaaS), platform as a service (PaaS), and dozens of other buzzwords.

In this vein, Fargate is a Container as a Service (CaaS) technology. You don’t have to worry about where you’ll deploy your containers, or how you’ll manage and scale them. Instead, you can focus on defining the right parameters for your containers (e.g. compute, storage, and networking) for a successful deployment.

Pro: Better Security

Due to their complexity, Amazon ECS and EKS present a few security concerns. Having multiple layers of tasks and containers in your stack means that you need to handle security for each one.

With Fargate, however, the security of your IT infrastructure is no longer your concern. Instead, you embed security within the container itself. You can also combine Fargate with container security companies such as Twistlock. These companies offer products for guarding against attacks on running applications in Fargate.

Pro: Lower Costs (Maybe)

If you’re migrating from Amazon ECS or EKS, then Fargate could be a cheaper alternative. This is for two main reasons:

    • As mentioned above, Fargate charges you only when your container workloads are running inside the underlying virtual machine. It does not charge you for the total time that the VM instance is running.
    • Fargate does a good job at task scheduling, making it easier to start and stop containers at a specific time.

Want some more good news? In January 2019, Fargate users saw a major price reduction that will slash operating expenses by 35 to 50 percent.

Con: Less Customization

Of course, the downside of Fargate is that you sacrifice customization options for ease of use. As a result, Fargate is not well-suited for users who need greater control over their containers. These users may have special requirements for governance, risk management, and compliance that require fine-tuned control over their IT infrastructure.

Con: Higher Costs (Maybe)

Sure, Fargate is a cost-saving opportunity in the right situation when switching from ECS or EKS. For simpler use cases, however, Fargate may actually end up being more expensive. Amazon charges Fargate users a higher per-hour fee than ECS and EKS users. This is to compensate for the complexity of managing your containers’ infrastructure.

In addition, running your container workloads in the cloud will likely be more expensive than operating your own infrastructure on-premises. What you gain in ease of use, you lose in flexibility and performance.

Con: Regional Availability

AWS Fargate is slowly rolling out across Amazon’s cloud data centers, but it’s not yet available in all regions. As of June 2020, Fargate is not available for the following Amazon regions:

    • AWS Fargate (EKS)
      • Northern California 
      • Montreal
      • São Paulo
      • GovCloud (US-West and US-East)
      • London
      • Milan*
      • Paris
      • Stockholm
      • Bahrain
      • Cape Town
      • Osaka*
      • Seoul
      • Mumbai
      • Hong Kong
      • Beijing
      • Ningxia
    • * = Includes AWS Fargate (ECS)

AWS Fargate Reviews

user reviews

Even though AWS Fargate is still a new technology, it has earned mostly positive feedback on the tech review platform G2 Crowd. As of this writing, AWS Fargate has received an average score of 4.5 out of 5 stars from 12 G2 Crowd users.

Multiple users praise AWS Fargate’s ease of use. One customer says that Fargate “made the job of deploying and maintaining containers very easy.” A second customer praises Fargate’s user interface, calling it “simple and very easy to navigate.”

Another reviewer calls AWS Fargate an excellent solution: “I have been working with AWS Fargate for 1 or 2 years, and as a cloud architect it’s a boon for me…  It becomes so easy to scale up and scale down dynamically when you’re using AWS Fargate.”

Despite these advantages, AWS Fargate customers do have some complaints:

    • One user wishes that the learning curve were easier, writing that “it requires some amount of experience on Amazon EC2 and knowledge of some services.”
    • Multiple users mention that the cost of AWS Fargate is too high for them: “AWS Fargate is costlier when compared with other services”; “the pricing isn’t great and didn’t fit our startup’s needs.”
    • Finally, another user has issues with Amazon’s support: “as it’s a new product introduced in 2017, the quality of support is not so good.”

AWS Fargate Alternatives: AWS Fargate vs Iron.io

While AWS offers Fargate as a serverless container platform running on Docker, Iron.io offers an alternative industry leading solution called IronWorker. IronWorker is a container-based platform with Docker support for performing work on-demand. Just like AWS Fargate, IronWorker takes care of all the messy questions about servers and scaling. All you have to do on your end is develop applications, and then queue up tasks for processing.

Why select IronWorker over AWS Fargate?

IronWorker has been helping customers grow their business since 2015. Even with IronWorker’s AWS Fargate’s similarities, IronWorker has the advantage in:

    • Support
    • Simplicity
    • Deployment Options

Support

We understand every application and project is different. Luckily, Iron.io offers a “white glove” approach by developing custom configurations to get your tasks up and running. No project is too big, so please contact our development team to get your project started.  We also understand that documentation is critical to any developer and have made a Dev Center to help answer your questions.

Simplicity

When you start your free 14 day trial, you will get to interact with the simple and easy to use Iron.io dashboard.  Once you have your project running, you will receive detailed analytics providing both a high level synopsis and granular metrics.

Deployment Options

As of June 2020, Fargate’s container scaling technology is not available for on-premises deployments. On the other hand, one of the main goals of Iron.io is for the platform to run anywhere. Iron.io offers a variety of deployment options to fit every company’s needs:

    • Shared
      • Users can run containers on Iron.io’s shared cloud infrastructure.
    • Hybrid
      • Users benefit from a hybrid cloud and on-premises solution. Containers run on in-house hardware, while Iron.io handles concerns such as scheduling and authentication. This is a smart choice for organizations who already have their own server infrastructure, or who have concerns about data security in the cloud.
    • Dedicated
      • Users can run containers on Iron.io’s dedicated server hardware, making their applications more consistent and reliable. With Iron.io’s automatic scaling technology, users don’t have to worry about manually increasing or decreasing their usage.
    • On-premises
      • Finally, users can run IronWorker on their own in-house IT infrastructure. This is the best choice for customers who have strict regulations for compliance and security. Users in finance, healthcare, and government may all need to run containers on-premises.

Conclusion

Like it or now, AWS Fargate is a leader in serverless container managment services. As we’ve discussed in this article, however, it’s certainly not the right choice for every company. It’s true that Fargate often provides extra time and convenience. However, Fargate users will also sacrifice control and incur potentially higher costs.

As alternative to AWS Fargate, IronWorker has proven itself an enterprise solution for companies such as Hotel Tonight, Bleacher Report and UntappdIronWorker, made by Iron.io, offers a mature, feature-rich alternative to Fargate, ECS and EKS. Users can run containers on-premises, in the cloud, or benefit from a hybrid solution. Like Fargate, IronWorker takes care of infrastructure questions such as servers, scaling, setup, and maintenance. This gives your developers more time to spend on deploying code and creating value for your organization.

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